On the accuracy of gradient estimation in extremum-seeking control using small perturbations
DOI10.1016/j.automatica.2018.05.001zbMath1402.93177OpenAlexW2803478311WikidataQ129766735 ScholiaQ129766735MaRDI QIDQ1626850
Mark Haring, Tor Arne Johansen
Publication date: 21 November 2018
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/11250/2592897
Nonlinear systems in control theory (93C10) Perturbations in control/observation systems (93C73) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Control/observation systems governed by ordinary differential equations (93C15)
Related Items (2)
Cites Work
- Unnamed Item
- On stability and application of extremum seeking control without steady-state oscillation
- Fast extremum-seeking for Wiener-Hammerstein plants
- A framework for a class of hybrid extremum seeking controllers with dynamic inclusions
- Lie bracket approximation of extremum seeking systems
- Extremum-seeking control for nonlinear systems with periodic steady-state outputs
- Extremum seeking under stochastic noise and applications to mobile sensors
- On characterizations of the input-to-state stability property
- On non-local stability properties of extremum seeking control
- Extremum seeking control based on phasor estimation
- Stability of extremum seeking feedback for general nonlinear dynamic systems
- A time-varying extremum-seeking control approach
- Multivariable Newton-based extremum seeking
- Extremum seeking for moderately unstable systems and for autonomous vehicle target tracking without position measurements
- Unified frameworks for sampled-data extremum seeking control: global optimisation and multi-unit systems
- Model-Free Stabilization by Extremum Seeking
- Real‐Time Optimization by Extremum‐Seeking Control
- Newton-Like Extremum-Seeking for the Control of Thermoacoustic Instability
- Asymptotic Stability of Perturbation-Based Extremum-Seeking Control for Nonlinear Plants
This page was built for publication: On the accuracy of gradient estimation in extremum-seeking control using small perturbations